ArticleKorean journal of radiology
Imaging characteristics of stage I non-small cell lung cancer on CT and FDG-PET: relationship with epidermal growth factor receptor protein expression status and survival.
Article in Korean journal of radiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.
- CT characteristics of non-small cell lung cancer with epidermal growth factor receptor mutation: a systematic review and meta-analysis.BMC medical imaging · 2017Pooled it
- CT-based nomogram for predicting EGFR mutation status in ground-glass nodules of lung adenocarcinoma.Frontiers in immunology · 2025Article
- New perspectives on inoperable early-stage lung cancer management: Clinicians, physicists, and biologists unveil strategies and insights.The journal of liquid biopsy · 2024Review
- What is the real value of predictive models?Translational lung cancer research · 2022Article
- [Relationship between EGFR, ALK Gene Mutation and Imaging and Pathological Features in Invasive Lung Adenocarcinoma].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2022Article
- Clinical and CT patterns to predict EGFR mutation in patients with non-small cell lung cancer: A systematic literature review and meta-analysis.European journal of radiology open · 2022Article
- A Review of the Correlation Between Epidermal Growth Factor Receptor Mutation Status andFrontiers in oncology · 2022Review
- Value of CT features for predicting EGFR mutations and ALK positivity in patients with lung adenocarcinoma.Scientific reports · 2021Article
- Molecular biomarkers in early stage lung cancer.Translational lung cancer research · 2021Review
- CT features associated with EGFR mutations and ALK positivity in patients with multiple primary lung adenocarcinomas.Cancer imaging : the official publication of the International Cancer Imaging Society · 2020Article
- Combining molecular and imaging metrics in cancer: radiogenomics.Insights into imaging · 2020Review
- Associations between clinical data and computed tomography features in patients with epidermal growth factor receptor mutations in lung adenocarcinoma.International journal of clinical oncology · 2018Article
- Associations Between Somatic Mutations and Metabolic Imaging Phenotypes in Non-Small Cell Lung Cancer.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2017Article
- Radiological and Clinical Features associated with Epidermal Growth Factor Receptor Mutation Status of Exon 19 and 21 in Lung Adenocarcinoma.Scientific reports · 2017Article
- Pulmonary ground-glass opacity: computed tomography features, histopathology and molecular pathology.Translational lung cancer research · 2017Review
- Predicting EGFR mutation status in lung cancer:Proposal for a scoring model using imaging and demographic characteristics.European radiology · 2016Article
- Radiomic Features Are Associated With EGFR Mutation Status in Lung Adenocarcinomas.Clinical lung cancer · 2016Article
- CT Features Associated with Epidermal Growth Factor Receptor Mutation Status in Patients with Lung Adenocarcinoma.Radiology · 2016Article
- Impact of the International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society classification of stage IA adenocarcinoma of the lung: Correlation between computed tomography images and EGFR and KRAS gene mutations.Experimental and therapeutic medicine · 2015Article
- Are there imaging characteristics associated with lung adenocarcinomas harboring ALK rearrangements?Lung cancer (Amsterdam, Netherlands) · 2014Article
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo identify CT and FDG-PET features associated with epidermal growth factor receptor (EGFR) protein overexpression, and to evaluate whether imaging features and EGFR-overexpression can help predict clinical outcome. MATERIALS AND
methodsIn 214 patients (M : F = 129 : 85; mean age, 63.2) who underwent curative resection of stage I non-small cell lung cancer, EGFR protein expression status was determined through immunohistochemical analysis. Imaging characteristics on CT and FDG-PET was assessed in relation to EGFR-overexpression. Imaging features and EGFR-overexpression were also evaluated for clinical outcome by using the Cox proportional hazards model.
resultsEGFR-overexpression was found in 51 patients (23.8%). It was significantly more frequent in tumors with an SUV(max) > 5.0 (p < 0.0001), diameter > 2.43 cm (p < 0.0001), and with ground glass opacity ≤ 50% (p = 0.0073). SUV(max) > 5.0 (OR, 3.113; 95% CI, 1.375-7.049; p = 0.006) and diameter > 2.43 cm (OR, 2.799; 95% CI, 1.285-6.095; p = 0.010) were independent predictors of EGFR overexpression. Multivariate analysis showed that SUV(max) > 4.0 (hazard ratio, 10.660; 95% CI, 1.370-82.966; p = 0.024), and the presence of cavitation within a tumor (hazard ratio, 3.122; 95% CI, 1.143-8.532; p = 0.026) were factors associated with poor prognosis.
conclusionEGFR-overexpression is associated with high SUV(max), large tumor diameter, and small GGO proportion. CT and FDG-PET findings, which are closely related to EGFR overexpression, can be valuable in the prediction of clinical outcome.
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